Statistical Process Control Analyst

Thermo Fisher ScientificTeterboro, New Jersey, USAonsite$38–$57/hrView the original posting at Thermo Fisher Scientific ↗

Work Schedule Standard (Mon-Fri) Environmental Conditions Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Work Schedule Standard (Mon-Fri) Environmental Conditions Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Office. Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleauges in bringing our Mission to life every single day to enable out customers to make the world healthier, cleaner, and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Excellent Benefits Package Review our company’s Total Rewards Medical, Dental, & Vision benefits-effective Day 1 Paid Time Off & Holidays 401K Company Match up to 5% Tuition Reimbursement – eligible after 90 days! Employee Referral Bonus Employee Discount Program Recognition Program Charitable Gift Matching Company Paid Parental Leave Career Advancement Opportunities As a Statistical Process Control Analyst in Biostatistics at Thermo Fisher Scientific, you will work on collecting, analyzing, and interpreting manufacturing and quality data to monitor process performance, identifying trends, supporting technology transfers, and supporting continuous improvement initiatives. You’ll develop and maintain statistical process control tools, evaluate process capability, and recommend inspection limits and control strategies based on sound statistical principles. This position offers the opportunity to make meaningful contributions by enabling our customers to make the world healthier, cleaner, and safer through innovative manufacturing solutions. A Day in the Life: You will be responsible for collecting, analyzing, and trending manufacturing and quality data using statistical methods and provide technical expertise for statistic analysis of process capability and as part of trend investigations. You will develop, maintain, and monitor statistical process control charts for critical process and quality attributes and perform process capability analyses across multiple products. You will assist with statistical evaluation of manufacturing processes as part of continuous process validation. You will recommend establishment or revisions of inspection limits, alert limits, and action limits based on statistical analysis of historical data. Keys to Success : Education Advanced degree with no prior experience, or Bachelor’s degree plus 2 or more years of relevant experience in statistical analysis, manufacturing, quality, or process engineering Combination of education and experience will be considered Preferred Fields of Study: Statistics, Mathematics, Biostatistics, Data Science, or a related discipline Experience Demonstrated experience in collection, analysis, and trending of manufacturing and quality data using statistical methods Strong knowledge of GMP and regulatory requirements Knowledge of statistical process control methodologies Proficient in statistical analysis of data sets coming from the manufacturing process Ability to interpret complex data and communicate findings effectively to multi-departmental audiences Proficien

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